148B AmaraBiomimetics

Robotic assistance system using residual movements

Intervention area

Mobility

Start date

January 1, 2023

End date

January 1, 2025

The motion planning, control and tuning of a robotic assistance system can be done in a natural, human-like, way using human demonstration learning methods. The integration of these control methods with offline learning will give the system the ability to replicate everyday tasks such as feeding itself with its own arm. The system’s control loop will be activated by using electromyographic signals of the user’s residual movements.

Lead applicant

François Ferland

Université de Sherbrooke

Génie électrique

7 INTER mandates

Team

Adina Panchea

Université de Sherbrooke

Génie électrique

3 INTER mandates

François Grondin

Université de Sherbrooke

Génie électrique

4 INTER mandates

Karina Lebel

Université de Sherbrooke

Génie électrique

12 INTER mandates

Alexandre Campeau-Lecours

Université Laval

Génie mécanique

14 INTER mandates

Dahlia Kairy

Université de Montréal

Réadaptation

14 INTER mandates

Mickael Begon

Université de Montréal

Kinésiologie

14 INTER mandates

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MIDI-INTER – May 2025 – Math and Robotics: The Key to Understanding Motor Control?

View the midi-INTER conference of May 22nd, 2025
MIDI-INTER – May 22nd, 2025 Adina M. Panchea, researcher, Department of Electrical and Computer Engineering, Robotics Program, Université de Sherbrooke This presentation will provide an overview of her recent research results, as...